DescriptionHead, Clinical Data Enablement, Data Reporting and AnalyticsAbout Astellas: At Astellas we can offer an inspiring place to work and a chance to make your mark in doing good for others. Our expertise, science and technology make us a pharma company. Our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society. Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners. Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division. Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity. We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership. Our aspiration is to bring the best brains together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit. The Opportunity:As the Clinical Data Enablement (CDE) Head of Data Reporting and Analytics, you will lead a globally distributed team focused on the generation and support of data reporting and analytics that will enable efficient study execution and related decision-making on clinical results data captured during the conduct of Astellas Phase I-IV clinical trials using Astellas provided technologies. This includes using various programming languages and/or systems to produce reports, visualizations, and data insights. Actual data review and data cleaning will be performed by other roles and/or functions. Key Responsibilities:

Acting as the primary contact and subject matter expert for the Data Aggregation team responsible for resource planning, workload assignment (allocation and prioritization), issue resolution, and related escalations to the Data Science Lead Team (DS LT). Performing functional management responsibilities for a team of individuals that will be managed in accordance with applicable HR and legal requirements. Ensuring the provision and maintenance of data reporting and analytics for Astellas-led Phase I-IV clinical trials using Astellas technologies in support of efficient study execution and related decision-making, including incorporation of emerging approaches to such activities. Participating in the selection, oversight, and governance of any vendors providing data reporting and analytical capabilities and/or support for such capabilities. Led collaboration with representatives from areas performing data management, medical review, etc. to define study-level requirements and ensure that any issues with reporting and analytics identified during study conduct are addressed as appropriate. Developing and maintaining reporting and analytics, as needed.

Essential Knowledge & Experience: Effectively managed resource capacity and developed related strategies. Implemented policies and/or procedures that will improve operations. Contributed to related technical and/or process improvement initiatives associated with data reporting and analytical capabilities within the department and across Astellas broadly. Significant pharma or CRO industry experience working on global clinical studies and projects or global process and system initiatives. Extensive experience with implementing and supporting reporting and analytics to enable decision-making. Preferred Experience: Prior experience with people management responsibilities. Experience in using at least one programming language (i.e. R, Python, SAS, SQL, etc). Demonstrated ability and experience in leading global process or system improvement projects. Knowledge of data standards in industry (CDISC, CDASH). Education/Qualifications: BS or MS degree, preferably in Computer Science, Informatics/Data Science, or life science discipline or equivalent. Additional Information: This is a permanent, full-time position. This position is based in the UK or Republic of Ireland. This position is 100% home/remote based. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.